Post Graduate Program in Business Analytics

Post Graduate Program in Business Analytics


Course Access Duration– 11 Months

Program Plan – Gives in-depth information about what is covered, schedule, different phases involved and Process

Key Take Away – Benefits of the course

Who should attend – Talks about the eligibility criteria, best suited audience, etc.,

Potential Career Growth:- On completion of Post Graduate Program in Business Analytics achieve a rewarding career by iibm institute


  • The Post Graduate Program in Business Analytics from IIBM Institute is intended for participants who want to build their careers in Business Analytics.
  • The Program is carefully crafted by distinguished academic and industry professionals to help participants develop a though conceptual understanding of the essentials and advanced topics in Business Analytics.
  • The Program intends for participants to apply the above analytics skills-sets to solve real-world business problems.
  •  Post Graduate Program in Business Analytics program intends participants to handle a real-world business problem through various tools and methodologies discussed in the curriculum.

Eligibility & Course Access Duration

Eligibility  Course Access Duration 
Eligibility: Fresh Graduates and Experienced Working Professional. 11 Months

Fees Details

Fee Option Installment-I Installment-II (after 1 Month) Installment-III (after 1 Month) Total Fees
Lump sum Rs.50,000 Rs.50,000
Installment Rs.15,000 Rs.20,000 Rs.20,000 Rs.55,000
Payment Instruction
1. Fees need to be paid in lump sum / first Installment via Cheque or online payment in favor of "IIBM Institute of Business Management".2. Exam Fees and GST 18% applicable 

**Scroll left and right table for get details.

Course Details

Data Analysis

  • Overview of Analytics
  • Data Analysis
  • Data Management
  • Different kinds of analytics
  • Various analytics tools

Data Science

  • Linear & Logistic Regression
  • Time Series
  • Machine Learning
  • Bayesian Network & Neural Network Models

Business Data Mining

  • The Scope of Data Mining
  • How Data Mining Works
  • Understand how Data Mining as a technique helps both Business Intelligence and Business Analytics


Financial Analytics

  • Understanding Financial Analysis, Measuring Profitability
  • Managing the Flow of Cash
  • Non-Financial Performance Measurement
  • Financial Ratios and Changes to the Accounting Environment

Time Series Model in Business

  • Time series methods are better suited for short-term forecasts (i.e., less than a year).
  • Time series forecasting relies on sufficient past data being available and that the data is of a high quality and truly representative.
  • Time series methods are best suited to relatively stable situations. Where substantial fluctuations are common and underlying conditions are subject to extreme change, then time series methods may give relatively poor results.

Hypothesis testing and ANOVA in R

  • Introducing statistical inference
  • Estimators and confidence intervals
  • Central Limit theorem
  • Parametric and non-parametric statistical tests
  • Analysis of variance (ANOVA)


  • Business Communication
  • Resume Writing
  • Assessments

Big Data and Hadoop

  • Hadoop Eco-system
  • HDFS, YARN, MapReduce
  • Pig, Hive, Hbase
  • Spark and Scala


  • Data Frame Manipulation
  • Natural Language Processing
  • Image Processing
  • Other Predictive Modelling Tools


  • Linear & Logistic Regression
  • Decision Trees & Segmentation
  • Time Series
  • KNN, Naïve Bayes, ANN, Support


  • SAS Basics
  • Reading and Manipulating Data
  • Data Transformations
  • Restructuring Dataset


  • Working with Tableau
  • Visualization in Depth
  • Data Organization & Mapping

Dashboards & Data Presentation.

Who Should Attend 

  • Degree/Diploma graduates
  • This course is designed for the professionals, who wish to make a career in business analytics and have some Knowledge of IT. There are no pre-requisites for this course.
  • Professionals with 2-10 years of experience will be strongly preferred
  • To gain an understanding of how managers use business analytics to formulate and solve business problems and to support managerial decision making.

Potential Career Growth

  • Improving the decision-makingprocess (quality and relevance)
  • Speeding up of decision-making process
  • Better alignment with strategy
  • Realising cost efficiency
  • Improving competitiveness
  • Producing a single, unified view of enterprise information
  • Synchronising financial and operational strategy
  • Increase revenues
  • Sharing information with a wider audience

Some of the companies known for using cutting edge Analytics (in India) are:

  •  Technology leaders: Google, Facebook, Linkedin
  • Banking, Financial Services and Insurance (BFSI):
  • Capital One, American Express, ICICI, HDFC

Alumni Speaks

image-21-70x70Name:-       N.C.RANGANATH


Review:-  It has been my long cherished dream to pursue further education. I have been working in life insurance sector since 1992 and occupied various positions in managerial cadre both in public and private sector. Due to tight work schedule I could not find time to pursue any further courses. Recently I took a sabbatical to become a Fellow of Teach for India for a period of two years. At the same time I also came across IIBM Institute of Business Management and found this valuable online course. The course helped me in getting deeper insight into various areas such as personnel management, financial services and Sales Distribution management besides providing me an opportunity to secure certifications in Six Sigma, Corporate governance and Project Management. Now I feel more empowered with requisite knowledge to take up higher responsibilities not only in insurance industry but also in any industry per se. My Special thanks to IIBM Institute Team.